, Volume 18, Issue 1, pp 61-72
Date: 05 Apr 2005

A BGP-based mechanism for lowest-cost routing

Rent the article at a discount

Rent now

* Final gross prices may vary according to local VAT.

Get Access

Abstract

The routing of traffic between Internet domains, or Autonomous Systems (ASs), a task known as interdomain routing, is currently handled by the Border Gateway Protocol (BGP). In this paper, we address the problem of interdomain routing from a mechanism-design point of view. The application of mechanism-design principles to the study of routing is the subject of earlier work by Nisan and Ronen [16] and Hershberger and Suri [12]. In this paper, we formulate and solve a version of the routing-mechanism design problem that is different from the previously studied version in three ways that make it more accurately reflective of real-world interdomain routing: (1) we treat the nodes as strategic agents, rather than the links; (2) our mechanism computes lowest-cost routes for all sourcedestination pairs and payments for transit nodes on all of the routes (rather than computing routes and payments for only one sourcedestination pair at a time, as is done in [12,16]); (3) we show how to compute our mechanism with a distributed algorithm that is a straightforward extension to BGP and causes only modest increases in routing-table size and convergence time (in contrast with the centralized algorithms used in [12,16]). This approach of using an existing protocol as a substrate for distributed computation may prove useful in future development of Internet algorithms generally, not only for routing or pricing problems. Our design and analysis of a strategyproof, BGP-based routing mechanism provides a new, promising direction in distributed algorithmic mechanism design, which has heretofore been focused mainly on multicast cost sharing.

Supported in part by ONR grants N00014-01-1-0795 and N00014-01-1-0447 and NSF grant CCR-0105337.
Supported in part by NSF grants ITR-0081698 and ITR-0121555 and by an IBM Faculty Development Award.
Supported by ONR grant N00014-01-1-0795.
Supported in part by NSF grants ITR-0205519, ANI-0207399, ITR-0121555, ITR-0081698, ITR-0225660, and ANI-0196514.
This work was supported by the DoD University Research Initiative (URI) program administered by the Office of Naval Research under Grant N00014-01-1-0795. It was presented in preliminary form at the 2002 ACM Symposium on Principles of Distributed Computing [5].